Docker Workflow

Docker Workflow

Cloud Whistler challenge and today ?????? 2 ???? 7, I am writing about docker workflow.

???????????? is a tool that lets you pack an app and everything it needs into a container, so it works the same way no matter where you run it. This container keeps the app separate from everything else, making sure it runs smoothly in any environment.

?????? ???????????? ??????????:

???????? 1: ?????????????? ?????? ?????????? ???????? ??????????????????????

Begin by writing your application using your preferred programming language and tools. After you have a functional application, create a Dockerfile. This Dockerfile is a simple text file that contains instructions for building a Docker image. It specifies the base image, installs necessary dependencies, copies your application code into the image, and defines the commands that should execute when the container starts.

???????? 2: ?????????? ?? ???????????? ??????????

Next, use the Docker CLI (Command Line Interface) or tools like Docker Compose or a CI/CD system to build the Docker image from your Dockerfile. The resulting Docker image is a self-contained package that includes your application code, the runtime environment, and all dependencies needed to run the application.

$ ???????????? ?????????? -?? ??????????????????????????????????????:???????????? .        
$ ???????????? ?????????? - This is the command to build a Docker image from a Dockerfile.        

  • ?? ?????????????????????????????????????? - The -t flag is used to tag the image with a name and optionally a version. In this case, you're tagging the image as ?????????????????????????????????????? with the version latest. The latest tag is commonly used to indicate the most recent version of the image.

. - The period at the end specifies the current directory as the location where the Dockerfile and application code are located.

???????? 3: ?????? ???????????? ????????????????????

After building the Docker image, you can create and run Docker containers from it. Containers are live instances of the Docker image, and each container can be started, stopped, and managed separately. You can run these containers on your local development machine or deploy them to production environments for use.

The command $ ???????????? ?????????????????? ?????? -?? -?? 8080:80 ??????????????????????????????????????:???????????? . is used to run a Docker container from an image. Here's what each part means:        

$ ???????????? ?????????????????? ?????? - This command runs a new container based on the specified Docker image.

  • ??: This flag runs the container in "detached" mode, meaning it will run in the background.
  • ?? 8080:80: This option maps ports between the host machine and the container. It binds port 8080 on your local machine to port 80 inside the container. This means that when you access localhost:8080 on your machine, it forwards traffic to port 80 inside the container (where your application is likely running, such as a web server).
  • ??????????????????????????????????????:???????????? - This specifies the image to use, in this case, the ?????????????????????????????????????? image with the latest tag.

???????? 4:???????????? ???????????? ????????????????????: Docker provides a set of commands to manage running containers. You can view running containers, stop containers, start stopped containers, and remove containers when they are no longer needed.


The docker ps command lists all running containers
$ ???????????? ????        
docker ps -a show all containers (default shows just running)
$ ???????????? ???? -??        
docker stop stops a running container
$ ???????????? ???????? <??????????????????_????>        
docker start starts a stopped container
$ ???????????? ?????????? <??????????????????_????>        
docker rm removes a container.
$ ???????????? ???? <??????????????????_????>        
When you run dokcer container --help you will see all the ways you can manage your command.        

Step 5:?Use Docker Compose for multi-container applications:?Docker Compose is a tool for defining and running multi-container Docker applications. It uses a YAML file to define the services, networks, and volumes required for your application. With?Docker Compose, you can start and stop multiple containers at once, define network connections between them, and manage their configurations.

Step 6:?Publish and distribute Docker images:?Docker images can be published to a registry, such as Docker Hub or a private registry. Publishing your images allows others to use them or deploy them to different environments. You can also distribute your images by sharing the Docker image file or pushing it to a version control system.


 $ docker push myregistry/myapp:latest
This command pushes the `myapp:latest` image to the `myregistry` registry.
        

Step 7:?Update and iterate:?As you continue to develop and enhance your application, you can iterate on your Docker image by updating the Dockerfile and rebuilding the image. This allows you to easily distribute and deploy new versions of your application.

#CloudWhistler #Cloudanaire #AWS

Ali Sohail Amir Malaeb Yvonne Young Daniyal Nadeem Osinachi Okpara Muhammad Faizan Kathryn Jones

Yvonne Young

Technical Expert Resolving Complex Business Challenges | Technical Support Engineer Advancing to Solutions Architect | AWS | Enterprise Architecture | IT Strategy

6 个月

I like this article.

回复
Rester McGlown Jr

AWS Certified Solutions Architect | Remote Support Engineer @ Philips | Technical Troubleshooting

6 个月

Congratulations Augustine!

Ali Sohail

??? "Cloud Whistler" Visionary Cloud Advocate | Elevating IT with Resilient, Cost-effective Solutions | Driving Efficiency & Scalability | DevOps Automation

6 个月

Very informative, another great article!

Muhammad Irfan

Linux System Administrator | AWS Cloud Enthusiast | Aspiring DevOps Engineer | Help Students in Career Building | Tech Blog Writer

6 个月

Insightful and good information. Stay tuned.

Lindiwe Dokotala

Software Developer |AWS Certified | AWS Community Builder

6 个月

Very informative.Thank you for sharing Augustine!

要查看或添加评论,请登录

Augustine Tetteh Ozor的更多文章

社区洞察

其他会员也浏览了